93 Publikationen

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  • [93]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987034 OA
    Lachenmaier, C., Lumer, E., Buschmeier, H. & Zarrieß, S. (2024). Towards understanding the entanglement of human stereotypes and system biases in human–robot interaction. Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (S. 646–649). Gehalten auf der 19th Annual ACM/IEEE International Conference on Human Robot Interaction. doi:10.1145/3610978.3640736.
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  • [92]
    2023 | Konferenzbeitrag | PUB-ID: 2985109 OA
    Bunzeck, B. & Zarrieß, S. (2023). GPT-wee: How Small Can a Small Language Model Really Get? In A. Warstadt, A. Mueller, L. Choshen, E. Wilcox, C. Zhuang, J. Ciro, R. Mosquera, B. Paranjabe, A. Williams, T. Linzen & R. Cotterell (Hrsg.), Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning (S. 7-18). Singapore: Association for Computational Linguistics. doi:10.18653/v1/2023.conll-babylm.2.
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  • [91]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980942 OA
    Wojcik, P., Bunzeck, B. & Zarrieß, S. (2023). The Wikipedia Republic of Literary Characters. Journal of Cultural Analytics, 8(2). CA: Journal of Cultural Analytics. doi:10.22148/001c.70251.
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  • [90]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986803
    Hoeken, S., Spliethoff, S., Schwandt, S., Zarrieß, S. & Alaçam, Ö. (2023). Towards Detecting Lexical Change of Hate Speech in Historical Data. In N. Tahmasebi (Hrsg.), Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change (S. 100-111). Gehalten auf der Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, Stroudsburg, PA, USA: Association for Computational Linguistics. doi:10.18653/v1/2023.lchange-1.11.
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  • [89]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969752 OA
    Schüz, S., Gatt, A. & Zarrieß, S. (2023). Rethinking symbolic and visual context in Referring Expression Generation. Frontiers in Artificial Intelligence, 6, 18. Frontiers Media SA. doi:10.3389/frai.2023.1067125.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [88]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985222 OA
    Sieker, J. & Zarrieß, S. (2023). When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle. In Y. Belinkov, S. Hao, J. Jumelet, N. Kim, A. McCarthy, H. Mohebbi & Association for Computational Linguistics (Hrsg.), Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP (S. 180–198). Gehalten auf der BlackboxNLP .
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  • [87]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983376 OA
    Sieker, J., Bott, O., Solstad, T. & Zarrieß, S. (2023). Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. In C.M. Keet, H.-Y. Lee, S. Zarrieß & Association for Computational Linguistics (Hrsg.), Proceedings of the 16th International Natural Language Generation Conference (S. 206–220). Gehalten auf der The 16th International Natural Language Generation Conference.
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  • [86]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979653 OA
    Lumer, E., Lachenmaier, C., Zarrieß, S. & Buschmeier, H. (2023). Indirect politeness of disconfirming answers to humans and robots. Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (S. 1808-1815). Gehalten auf der 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). doi:10.1109/RO-MAN57019.2023.10309586.
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  • [85]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982902 OA
    Bunzeck, B. & Zarrieß, S. (2023). Entrenchment Matters: Investigating Positional and Constructional Sensitivity in Small and Large Language Models. In E. Breitholtz, S. Lappin, S. Loaiciga, N. Ilinykh & S. Dobnik (Hrsg.), Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD) (S. 25-37). Gehalten auf der 2023 CLASP Conference on Learning with Small Data, Stroudsburg, PA: Association for Computational Linguistics.
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  • [84]
    2023 | Konferenzband | PUB-ID: 2984125
    Proceedings of the 16th International Natural Language Generation Conference. (2023). Proceedings of the 16th International Natural Language Generation Conference. (C.M. Keet, H.-Y. Lee & S. Zarrieß, Hrsg.). Prague, Czechia: Association for Computational Linguistics.
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  • [83]
    2023 | Konferenzbeitrag | PUB-ID: 2984124
    Wagner, J. & Zarrieß, S. (2023). Probing BERT's ability to encode sentence modality and modal verb sense across varieties of English. In M. Amblard & E. Breitholtz (Hrsg.), Proceedings of the 15th International Conference on Computational Semantics (S. 28-38). Nancy, France: Association for Computational Linguistics.
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  • [82]
    2023 | Konferenzbeitrag | PUB-ID: 2984123
    Brinner, M.F. & Zarrieß, S. (2023). Model Interpretability and Rationale Extraction by Input Mask Optimization. In A. Rogers, J. Boyd-Graber & N. Okazaki (Hrsg.), Findings of the Association for Computational Linguistics: ACL 2023 (S. 13722-13744). Toronto, Canada: Association for Computational Linguistics. doi:10.18653/v1/2023.findings-acl.867.
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  • [81]
    2023 | Konferenzbeitrag | PUB-ID: 2981214
    Hoeken, S., Zarrieß, S. & Alaçam, Ö. (2023). Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space. Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (S. 278-289). Toronto, Canada: Association for Computational Linguistics.
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  • [80]
    2023 | Konferenzbeitrag | PUB-ID: 2979407
    Voigt, H., Hombeck, J., Meuschke, M., Lawonn, K. & Zarrieß, S. (2023). Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions. Findings of the Association for Computational Linguistics: EACL 2023 (S. 828-843). Dubrovnik, Croatia: Association for Computational Linguistics.
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  • [79]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961795 OA
    Betz, S., Davids, R., Müller, C., Székély, E., Wagner, P., Weber, M.A., Youssef-Baronfeind, C. & Zarrieß, S. (2022). Is there a hesitation bias for ambiguous color terms? (Studientexte zur Sprachkommunikation). In R. Hoffmann (Hrsg.), Elektronische Sprachsignalverarbeitung 2022: Tagungsband der 33. Konferenz Sonderborg, 2.-4. März 2022 . Gehalten auf der 33rd conference on electronic speech signal processing (ESSV 2022), Dresden: TuD.
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  • [78]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969797
    Brinner, M.F., Heger, T. & Zarrieß, S. (2022). Linking a Hypothesis Network From the Domain of Invasion Biology to a Corpus of Scientific Abstracts: The INAS Dataset. Proceedings of the first Workshop on Information Extraction from Scientific Publications (S. 32-42). Gehalten auf der The 1st Workshop on Information Extraction from Scientific Publications, Stroudsburg, PA: Association for Computational Linguistics.
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  • [77]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969796
    Voigt, H., Meuschke, M., Zarrieß, S. & Lawonn, K. (2022). KeywordScape: Visual Document Exploration using Contextualized Keyword Embeddings. In W. Che & E. Shutova (Hrsg.), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (S. 137-147). Gehalten auf der The 2022 Conference on Empirical Methods in Natural Language Processing, Stroudsburg, PA: Association for Computational Linguistics.
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  • [76]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965729
    Wagner, J. & Zarrieß, S. (2022). Do gender neutral affixes naturally reduce gender bias in static word embeddings? In R. Schaefer, X. Bai, M. Stede & T. Zesch (Hrsg.), Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022) (S. 88-97). Potsdam, Germany: KONVENS 2022 Organizers.
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  • [75]
    2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2965495 OA
    Utescher, R., Patee, A., Maiwald, F., Bruschke, J., Hoppe, S., Münster, S., Niebling, F. & Zarrieß, S. (2022). Exploring Naming Inventories for Architectural Elements for Use in Multi-modal Machine Learning Applications. In Laboratoire lausannois d’informatique et statistique textuelle (Hrsg.), . Gehalten auf der Workshop on Computational Methods in the Humanities 2022, Lausanne.
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  • [74]
    2022 | Konferenzbeitrag | PUB-ID: 2965499
    Münster, S., Bruschke, J., Kröber, C., Hoppe, S., Maiwald, F., Niebling, F., Pattee, A., Utescher, R. & Zarrieß, S. (2022). Multimodale KI zur Unterstützung geschichtswissenschaftlicher Quellenkritik-ein Forschungsaufriss. DHd2022: Kulturen des digitalen Gedächtnisses. Konferenzabstracts. Gehalten auf der 8. Jahrestagung des Verbandes Digital Humanities im deutschsprachigen Raum e.V. doi:10.5281/zenodo.6328109.
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  • [73]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967315
    Alaçam, Ö., Ruppert, E., Malhotra, G., Biemann, C. & Zarrieß, S. (2022). Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. In Y. He, H. Yi, S. Li, Y. Liu & C.-H. Chang (Hrsg.), Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022 (S. 197-210). Gehalten auf der The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, Stroudsburg, PA: Association for Computational Linguistics.
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  • [72]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967316
    Alaçam, Ö., Schüz, S., Wegrzyn, M., Kißler, J. & Zarrieß, S. (2022). Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency (Coling). Proceedings of the 29th International Conference on Computational Linguistics (S. 178-191). Gehalten auf der International Conference on Computational Linguistics, International Committee on Computational Linguistics.
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  • [71]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967312
    Attari, N., Schlangen, D., Heckmann, M., Wersing, H. & Zarrieß, S. (2022). Generating Coherent and Informative Descriptions for Groups of Visual Objects and Categories: A Simple Decoding Approach. Proceedings of the 15th International Conference on Natural Language Generation (S. 110-120). Gehalten auf der International Natural Language Generation Conference (INLG 2022), Stroudsburg, PA: Association for Computational Linguistics.
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  • [70]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967313
    Zarrieß, S., Voigt, H., Schlangen, D. & Sadler, P. (2022). Generating Landmark-based Manipulation Instructions from Image Pairs. In S. Shaikh, T. Ferreira & A. Stent (Hrsg.), Proceedings of the 15th International Conference on Natural Language Generation (S. 203-211). Gehalten auf der International Natural Language Generation Conference (INLG 2022), Stroudsburg, PA: Association for Computational Linguistics.
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  • [69]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965490 OA
    Reiter, N., Sieker, J., Guhr, S., Gius, E. & Zarrieß, S. (2022). Exploring Text Recombination for Automatic Narrative Level Detection. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) (S. 3346-3353). Gehalten auf der 13th Language Resources and Evaluation Conference, European Language Resources Association (ELRA).
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  • [68]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965730
    Zarrieß, S., Groener, H., Solstad, T. & Bott, O. (2022). This isn't the bias you're looking for: Implicit causality, names and gender in German language models. In R. Schaefer, X. Bai, M. Stede & T. Zesch (Hrsg.), Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022) (S. 129-134). Potsdam, Germany: KONVENS 2022 Organizers.
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  • [67]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965223
    Giesen, J., Kahlmeyer, P., Nussbaum, F. & Zarrieß, S. (2022). Leveraging the Wikipedia Graph for Evaluating Word Embeddings. In L. De Raedt (Hrsg.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (S. 4136-4142). Gehalten auf der Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}, California: International Joint Conferences on Artificial Intelligence Organization. doi:10.24963/ijcai.2022/574.
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  • [66]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965224
    Voigt, H., Alaçam, Ö., Meuschke, M., Lawonn, K. & Zarrieß, S. (2022). The Why and The How: A Survey on Natural Language Interaction in Visualization. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (S. 348-374). Gehalten auf der Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Stroudsburg, PA, USA: Association for Computational Linguistics. doi:10.18653/v1/2022.naacl-main.27.
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  • [65]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956208
    Wagner, P., Zarrieß, S. & Cholin, J. (2021). Effects of time pressure and spontaneity on phonotactic innovations in German Dialogues. Interspeech 2021. Proceedings (S. 3335-3339). Gehalten auf der Interspeech 2021, ISCA. doi:doi: 10.21437/Interspeech.2021-1539.
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  • [64]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957091 OA
    Zarrieß, S., Voigt, H. & Schüz, S. (2021). Decoding Methods in Neural Language Generation: A Survey. Information, 12(9): 355. MDPI. doi:10.3390/info12090355.
    PUB | PDF | DOI | WoS
     
  • [63]
    2021 | Konferenzbeitrag | PUB-ID: 2955815
    Utescher, R. & Zarrieß, S. (2021). What Did This Castle Look like before? Exploring Referential Relations in Naturally Occurring Multimodal Texts. Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN) (S. 53-60). Gehalten auf der LANTERN - The Third Workshop Beyond Vision and Language: Integrating Real World Knowledge , Kyiv, Ukraine: Association for Computational Linguistics.
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  • [62]
    2021 | Konferenzbeitrag | PUB-ID: 2958059
    Schüz, S. & Zarrieß, S. (2021). Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation. Proceedings of the Reasoning and Interaction Conference (ReInAct 2021) (S. 47-52). Gehalten auf der Reasoning and Interaction, Gothenburg, Sweden: Association for Computational Linguistics.
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  • [61]
    2021 | Konferenzband | PUB-ID: 2957719
    Proceedings of the 14th International Conference on Computational Semantics (IWCS). (2021). Proceedings of the 14th International Conference on Computational Semantics (IWCS). (S. Zarrieß, B. Johan, R. van Noord & L. Abzianidze, Hrsg.). Groningen, The Netherlands (online): Association for Computational Linguistics.
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  • [60]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956772
    Zarrieß, S., Buschmeier, H., Han, T. & Schüz, S. (2021). Decoding, fast and slow: A case study on balancing trade-offs in incremental, character-level pragmatic reasoning. Proceedings of the 14th International Conference on Natural Language Generation (S. 371–376). Gehalten auf der 14th International Conference on Natural Language Generation.
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  • [59]
    2021 | Konferenzbeitrag | PUB-ID: 2955817
    Schüz, S., Han, T. & Zarrieß, S. (2021). Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation. Proceedings of the 22nd Annual SIGdial Meeting on Discourse and Dialogue (S. Forthcoming). Association for Computational Linguistics.
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  • [58]
    2021 | Sammelwerksbeitrag | PUB-ID: 2955819
    Woijcik, P., Picard, S. & Zarrieß, S. (2021). Oktoberfest. Zur Twitterisierung einer kulturellen Ikone. ( Schriften zur Kultur- und Mediensemiotik). In S. Großmann (Hrsg.), O’zapft is!“ – Das Münchner Oktoberfest aus literatur- und kultursemiotischer Perspektive. Marburg: Schüren.
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  • [57]
    2021 | Konferenzbeitrag | PUB-ID: 2955818
    Giesen, J., Kahlmeyer, P., Laue, S., Mitterreiter, M., Nussbaum, F., Staudt, C. & Zarrieß, S. (2021). Method of Moments for Topic Models with Mixed Discrete and Continuous Features. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021 (S. Forthcoming).
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  • [56]
    2021 | Konferenzbeitrag | PUB-ID: 2955816
    Voigt, H., Meuschke, M., Lawonn, K. & Zarrieß, S. (2021). Challenges in Designing Natural Language Interfaces for Complex Visual Models. Proceedings of the First Workshop on Bridging Human-Computer Interaction and Natural Language Processing (S. 66-73). Online: Association for Computational Linguistics.
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  • [55]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941473 OA
    Betz, S., Székély, E., Zarrieß, S., Schröer, M., Schade, L. & Wagner, P. (2020). Hesitation Processing Analysis Using Continuous Mouse-Tracking and Gamification (Studientexte zur Sprachkommunikation). In A. Wendemuth, R. Böck & I. Siegert (Hrsg.), Elektronische Sprachsignalverarbeitung 2020. Tagungsband der 31. Konferenz. (S. 85-92). Gehalten auf der Elektronische Sprachsignalverarbeitung, Dresden: TUD Press.
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  • [54]
    2020 | Konferenzbeitrag | PUB-ID: 2955806
    Rojowiec, R., Götze, J., Sadler, P., Voigt, H., Zarrieß, S. & Schlangen, D. (2020). From "Before'' to "After'': Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain. Proceedings of the 13th International Conference on Natural Language Generation (S. 316-326). Dublin, Ireland: Association for Computational Linguistics.
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  • [53]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955804
    Schüz, S. & Zarrieß, S. (2020). Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (S. 6536-6542). Gehalten auf der Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Stroudsburg, PA, USA: Association for Computational Linguistics. doi:10.18653/v1/2020.acl-main.584.
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  • [52]
    2020 | Konferenzbeitrag | PUB-ID: 2955807
    Silberer, C., Zarrieß, S. & Boleda, G. (2020). Object Naming in Language and Vision: A Survey and a New Dataset. Proceedings of the 12th Language Resources and Evaluation Conference (S. 5792-5801). Marseille, France: European Language Resources Association.
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  • [51]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955805
    Silberer, C., Zarrieß, S., Westera, M. & Boleda, G. (2020). Humans Meet Models on Object Naming: A New Dataset and Analysis. Proceedings of the 28th International Conference on Computational Linguistics (S. 1893-1905). Gehalten auf der Proceedings of the 28th International Conference on Computational Linguistics, Stroudsburg, PA, USA: International Committee on Computational Linguistics. doi:10.18653/v1/2020.coling-main.172.
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  • [50]
    2019 | Konferenzbeitrag | PUB-ID: 2936376 OA
    Betz, S., Zarrieß, S., Székely, É. & Wagner, P. (2019). The greennn tree - lengthening position influences uncertainty perception. Proceedings of Interspeech (S. 3990-3994). Gehalten auf der 20th Annual Conference of the International Speech Communication Association INTERSPEECH.
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  • [49]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2936777 OA
    Haake, K., Schimke, S., Betz, S. & Zarrieß, S. (2019). Do Hesitations Facilitate Processing of Partially Defective System Utterances? An Exploratory Eye Tracking Study. Proceedings of Interspeech (S. 1906-1910). Gehalten auf der INTERSPEECH 2019.
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  • [48]
    2019 | Konferenzbeitrag | PUB-ID: 2955814 OA
    Ilinykh, N., Zarrieß, S. & Schlangen, D. (2019). Meet Up! A Corpus of Joint Activity Dialogues in a Visual Environment. Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue - Full Papers. London, United Kingdom: SEMDIAL.
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  • [47]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955809
    Han, T. & Zarrieß, S. (2019). Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings. Proceedings of the 12th International Conference on Natural Language Generation (S. 136-140). Gehalten auf der Proceedings of the 12th International Conference on Natural Language Generation, Stroudsburg, PA, USA: Association for Computational Linguistics. doi:10.18653/v1/W19-8618.
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  • [46]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955811
    Zarrieß, S. & Schlangen, D. (2019). Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (S. 654-659). Gehalten auf der Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Stroudsburg, PA, USA: Association for Computational Linguistics. doi:10.18653/v1/P19-1063.
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  • [45]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955810
    Ilinykh, N., Zarrieß, S. & Schlangen, D. (2019). Tell Me More: A Dataset of Visual Scene Description Sequences. Proceedings of the 12th International Conference on Natural Language Generation (S. 152-157). Gehalten auf der Proceedings of the 12th International Conference on Natural Language Generation, Stroudsburg, PA, USA: Association for Computational Linguistics. doi:10.18653/v1/W19-8621.
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  • [44]
    2019 | Konferenzbeitrag | PUB-ID: 2937291
    Ilinykh, N., Zarrieß, S. & Schlangen, D. (2019). MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment. arXiv:1907.05084.
    PUB | arXiv
     
  • [43]
    2018 | Konferenzbeitrag | PUB-ID: 2930295 OA
    Han, T., Zarrieß, S., Komatani, K. & Schlangen, D. (2018). Learning to describe multimodally from parallel unimodal data? A pilot study on verbal and sketched object descriptions. Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial). Gehalten auf der The 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial).
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  • [42]
    2018 | Konferenzbeitrag | PUB-ID: 2931465 OA
    Ilinykh, N., Zarrieß, S. & Schlangen, D. (2018). The Task Matters. Comparing Image Captioning and Task-Based Dialogical Image Description. Proceedings of 11th International Conference on Natural Language Generation (INLG 2018). Gehalten auf der 11th International Conference on Natural Language Generation (INLG 2018).
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  • [41]
    2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2931335 OA
    Schlangen, D., Diekmann, T., Ilinykh, N. & Zarrieß, S. (2018). slurk – A Lightweight Interaction Server For Dialogue Experiments and Data Collection. Short Paper Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial / semdial 2018). Gehalten auf der 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial / semdial 2018).
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  • [40]
    2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2931333 OA
    Schlangen, D., Ilinykh, N. & Zarrieß, S. (2018). MeetUp! A Task For Modelling Visual Dialogue. Short Paper Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial / semdial 2018). Gehalten auf der SEMDIAL 2018 (AixDial) - The 22nd Workshop on the Semantics and Pragmatics of Dialogue.
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  • [39]
    2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2931331 OA
    Schlangen, D., Ilinykh, N. & Zarrieß, S. (2018). Visual Dialogue Needs Symmetry, Goals, andDynamics: The Example of the MeetUp Task. Proceedings of the 1st Workshop on Shortcomings in Vision and Language (SiVL) at ECCV 2018. Gehalten auf der Workshop on Shortcomings in Vision and Language (SiVL).
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  • [38]
    2018 | Konferenzbeitrag | PUB-ID: 2931430 OA
    Zarrieß, S. & Schlangen, D. (2018). Decoding Strategies for Neural Referring Expression Generation. Proceedings of INLG 2018. Gehalten auf der INLG.
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  • [37]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918708 OA
    Lopez Gambino, M.S., Zarrieß, S. & Schlangen, D. (2018). Testing Strategies For Bridging Time-To-Content In Spoken Dialogue Systems. Proceedings of the Ninth International Workshop on Spoken Dialogue Systems Technology (IWSDS 2018). Gehalten auf der Ninth International Workshop on Spoken Dialogue Systems Technology (IWSDS 2018).
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  • [36]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908804 OA
    Betz, S., Zarrieß, S. & Wagner, P. (2017). Synthesized lengthening of function words - The fuzzy boundary between fluency and disfluency. Proceedings of the International Conference Fluency and Disfluency. Gehalten auf der International Conference Fluency and Disfluency.
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  • [35]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913255 OA
    Betz, S., Voße, J., Zarrieß, S. & Wagner, P. (2017). Increasing Recall of Lengthening Detection via Semi-Automatic Classification. Proceedings of Interspeech (S. 1084-1088). Gehalten auf der Interspeech 2017 - Situated Interaction.
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  • [34]
    2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2909299
    Loth, S. & Zarrieß, S. (2017). Mouse-Tracking. Eine Methode zur automatischen Klassifizierung von Schwierigkeiten beim Textverstehen? In S. Pappert (Hrsg.), . Gehalten auf der Wie leicht verständlich sind Leichte und Einfache Sprache? Faktoren, Methoden und Evidenzen.
    PUB
     
  • [33]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913008 OA
    Lopez Gambino, M.S., Zarrieß, S. & Schlangen, D. (2017). Beyond On-Hold Messages: Conversational Time-Buying in Task-Oriented Dialogue. In K. Jokinen, M. Stede, D. DeVault & A. Louis (Hrsg.), 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Proceedings of the conference (S. 241-246). Gehalten auf der Annual Meeting of the Special Interest Group on Discourse and Dialogue. doi:10.18653/v1/W17-5529.
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  • [32]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913006 OA
    Zarrieß, S. & Schlangen, D. (2017). Deriving continous grounded meaning representations from referentially structured multimodal contexts. Proceedings of EMNLP 2017 -- Short Papers. Gehalten auf der EMNLP.
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  • [31]
    2017 | Konferenzbeitrag | Im Druck | PUB-ID: 2913049 OA
    Hough, J., Zarrieß, S. & Schlangen, D. (In Press). Grounding Imperatives to Actions is Not Enough: A Challenge for Grounded NLU for Robots from Human-Human Data. Gehalten auf der Grounding Language Understanding (GLU2017).
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  • [30]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910540 OA
    Zarrieß, S. & Schlangen, D. (2017). Obtaining referential word meanings from visual and distributional information: Experiments on object naming. Proceedings of 55th annual meeting of the Association for Computational Linguistics (ACL). Vancouver.
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  • [29]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908811 OA
    Zarrieß, S. & Schlangen, D. (2017). Is this a Child, a Girl, or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings. Short Papers -- Proceedings of the Annual Meeting of the European Chapter of the Association for Computational Linguistics (EACL). Gehalten auf der EACL.
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  • [28]
    2017 | Konferenzbeitrag | PUB-ID: 2913606 OA
    Zarrieß, S. & Schlangen, D. (2017). Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images. Proceedings of INLG 2017 (demo papers).
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  • [27]
    2017 | Konferenzbeitrag | Angenommen | PUB-ID: 2913605 OA
    Richardson, K., Zarrieß, S. & Kuhn, J. (Accepted). The Code2Text Challenge: Text Generation in Source Code Libraries. Proceedings of INLG 2017 (shared task track).
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  • [26]
    2016 | Dissertation | PUB-ID: 2955821
    Zarrieß, S. (2016). Syntactic and referential choice in corpus-based generation: modeling source, context and interactions. Universität Stuttgart.
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  • [25]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903759 OA
    Zarrieß, S. & Schlangen, D. (2016). Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). Gehalten auf der ACL 2016.
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  • [24]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903756 OA
    Schlangen, D., Zarrieß, S. & Kennington, C. (2016). Resolving References to Objects in Photographs using the Words-As-Classifiers Model. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). Gehalten auf der ACL 2016, Berlin.
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  • [23]
    2016 | Datenpublikation | PUB-ID: 2901444
    Zarrieß, S., Hough, J., Kennington, C., Manuvinakurike, R., DeVault, D., Fernández, R. & Schlangen, D. (2016). PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. Bielefeld University. doi:10.4119/unibi/2901444.
    PUB | Dateien verfügbar
     
  • [22]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903076 OA
    Zarrieß, S., Hough, J., Kennington, C., Manuvinakurike, R., DeVault, D., Fernández, R. & Schlangen, D. (2016). PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. 10th edition of the Language Resources and Evaluation Conference. Gehalten auf der 10th edition of the Language Resources and Evaluation Conference.
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  • [21]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905650 OA
    Zarrieß, S. & Schlangen, D. (2016). Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? Proceedings of the 9th International Natural Language Generation conference (S. 246--255). Gehalten auf der 9th International Natural Language Generation conference, Edinburgh, UK: Association for Computational Linguistics.
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  • [20]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2769458
    Zarrieß, S., Loth, S. & Schlangen, D. (2015). Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings. In A. Belz, A. Gatt, F. Portet & M. Purver (Hrsg.), Proceedings of the 15th European Workshop on Natural Language Generation (S. 38-47). Gehalten auf der 15th European Workshop on Natural Language Generation, BRIGHTON, East Sussex, United Kingdom: The Association for Computational Linguistics.
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  • [19]
    2013 | Konferenzbeitrag | PUB-ID: 2955845
    Cetinoglu, Ö., Zarrieß, S. & Kuhn, J. (2013). Dependency-based sentence simplification for increasing deep LFG parsing coverage. Proceedings of the LFG13 Conference. Debrecen, Hungary.
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  • [18]
    2013 | Konferenzbeitrag | PUB-ID: 2955828
    Zarrieß, S. & Richardson, K. (2013). An Automatic Method for Building a Data-to-Text Generator. Proceedings of the 14th {E}uropean Workshop on Natural Language Generation (S. 202-203). Sofia, Bulgaria: Association for Computational Linguistics.
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  • [17]
    2013 | Konferenzbeitrag | PUB-ID: 2955827
    Zarrieß, S. & Kuhn, J. (2013). Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (S. 1547-1557). Sofia, Bulgaria: Association for Computational Linguistics.
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  • [16]
    2013 | Konferenzbeitrag | PUB-ID: 2955826
    Berend, G., Vincze, V., Zarrieß, S. & Farkas, R. (2013). LFG-based Features for Noun Number and Article Grammatical Errors. Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task (S. 62-67). Sofia, Bulgaria: Association for Computational Linguistics.
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  • [15]
    2012 | Konferenzbeitrag | PUB-ID: 2955829
    Zarrieß, S., Cahill, A. & Kuhn, J. (2012). To what extent does sentence-internal realisation reflect discourse context? A study on word order. Proceedings of the 13th Conference of the {E}uropean Chapter of the Association for Computational Linguistics (S. 767-776). Avignon, France: Association for Computational Linguistics.
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  • [14]
    2012 | Konferenzbeitrag | PUB-ID: 2955830
    Ziering, P., Zarrieß, S. & Kuhn, J. (2012). A Corpus-based Study of the German Recipient Passive. Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12) (S. 1637-1644). Istanbul, Turkey: European Language Resources Association (ELRA).
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  • [13]
    2012 | Konferenzbeitrag | PUB-ID: 2955831
    Bohnet, B., Björkelund, A., Kuhn, J., Seeker, W. & Zarrieß, S. (2012). Generating Non-Projective Word Order in Statistical Linearization. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (S. 928-939). Jeju Island, Korea: Association for Computational Linguistics.
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  • [12]
    2011 | Konferenzbeitrag | PUB-ID: 2955832
    Zarrieß, S., Cahill, A. & Kuhn, J. (2011). Underspecifying and Predicting Voice for Surface Realisation Ranking. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (S. 1007-1017). Portland, Oregon, USA: Association for Computational Linguistics.
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  • [11]
    2010 | Konferenzbeitrag | PUB-ID: 2955843
    Kuhn, J., Rohrer, C., Zarrieß, S., Butt, M. & King, T.H. (2010). Right Node Raising in Parsing and Generation. Proceedings of the LFG10 Conference (S. 332).
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  • [10]
    2010 | Konferenzbeitrag | PUB-ID: 2955842
    Zarrieß, S. & Kuhn, J. (2010). Reversing F-structure Rewriting for Generation from Meaning Representations. Proceedings of the LFG10 Conference. Ottawa, Canada.
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  • [9]
    2010 | Konferenzbeitrag | PUB-ID: 2955835
    Zarrieß, S., Cahill, A., Kuhn, J. & Rohrer, C. (2010). A Cross-Lingual Induction Technique for German Adverbial Participles. Proceedings of the 2010 Workshop on {NLP} and Linguistics: Finding the Common Ground (S. 34-42). Uppsala, Sweden: Association for Computational Linguistics.
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  • [8]
    2010 | Konferenzbeitrag | PUB-ID: 2955834
    Zarrieß, S., Cahill, A., Kuhn, J. & Rohrer, C. (2010). Cross-Lingual Induction for Deep Broad-Coverage Syntax: A Case Study on German Participles. Coling 2010: Posters (S. 1426-1434). Beijing, China: Coling 2010 Organizing Committee.
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  • [7]
    2010 | Konferenzbeitrag | PUB-ID: 2955833
    Dione, C.M.B., Kuhn, J. & Zarrieß, S. (2010). Design and Development of Part-of-Speech-Tagging Resources for Wolof (Niger-Congo, spoken in Senegal). Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10). Valletta, Malta: European Language Resources Association (ELRA).
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  • [6]
    2009 | Konferenzbeitrag | PUB-ID: 2955841
    Zarrieß, S. & Kuhn, J. (2009). Paraphrases in LFG-based Broad-Coverage Semantics. In M. Butt & T. Holloway King (Hrsg.), Proceedings of the LFG09 Conference. Cambridge.
    PUB
     
  • [5]
    2009 | Konferenzbeitrag | PUB-ID: 2955840
    Zarrieß, S. (2009). From parallel syntax towards parallel semantics: Porting an English LFG-based semantics to German. Proceedings of the Biennal GSCL Conference (S. 159-169).
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  • [4]
    2009 | Konferenzbeitrag | PUB-ID: 2955836
    Zarrieß, S. (2009). Developing German Semantics on the basis of Parallel LFG Grammars. Proceedings of the 2009 Workshop on Grammar Engineering Across Frameworks ({GEAF} 2009) (S. 10-18). Suntec, Singapore: Association for Computational Linguistics.
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  • [3]
    2009 | Konferenzbeitrag | PUB-ID: 2955837
    Zarrieß, S. & Kuhn, J. (2009). Exploiting Translational Correspondences for Pattern-Independent MWE Identification. Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications ({MWE} 2009) (S. 23-30). Singapore: Association for Computational Linguistics.
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  • [2]
    2008 | Zeitschriftenaufsatz | PUB-ID: 2955839
    Zarrieß, S. & Seeker, W. (2008). Finite-state rule deduction for parsing non-constituent coordination. Finite State Methods and Natural Language Processing, 213.
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  • [1]
    2006 | Konferenzbeitrag | PUB-ID: 2955838
    Kawtrakul, A., Suktarachan, M., Ranaivo-Malancon, B., Kuan, P., Raina, A., Sarkar, S., Mari, A., Zarrieß, S., Murguia, E. & Saint-Dizier, P. (2006). A Conceptual Analysis of the Notion of Instrumentality via a Multilingual Analysis. Proceedings of the Third {ACL}-{SIGSEM} Workshop on Prepositions.
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